Okan Köpüklü (okankop)

okankop

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Company:Technical University of Munich

Home Page:okankop.github.io

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Okan Köpüklü's starred repositories

active-speakers-context

Code for the Active Speakers in Context Paper (CVPR2020)

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Driver-Anomaly-Detection

PyTorch Implementation of "Driver Anomaly Detection: A Dataset and Contrastive Learning Approach", codes and pretrained models.

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SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

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ctc-segmentation

Segment an audio file and obtain utterance alignments. (Python package)

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Driver-Intention-Prediction

A framework predicts driver's maneuver behaviors

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blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

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CVPR2020-HAttMatting

Attention-Guided Hierarchical Structure Aggregation for Image Matting(CVPR2020)

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nevergrad

A Python toolbox for performing gradient-free optimization

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FairMOT

[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking

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YOWO

You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization

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SiamMask

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

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PRML

PRML algorithms implemented in Python

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pytorch-CAM

Class Activation Mapping written in PyTorch.

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info8010-deep-learning

Lectures for INFO8010 Deep Learning, ULiège

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tracking-with-Extended-Kalman-Filter

Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.

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STAGE_action_detection

Code of the STAGE module for video action detection

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mahalanobis_3d_multi_object_tracking

[NeurIPS Workshop 2019] Official code of the paper "Probabilistic 3D Multi-Object Tracking for Autonomous Driving." First Place of the First NuScenes Tracking Challenge in the AI Driving Olympics Workshop of NeurIPS.

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AB3DMOT

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

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pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

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CenterNet

Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

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oxford-poster

LaTeX beamer poster template themed for the University of Oxford

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TKP

Pytorch implementation of Temporal Knowledge Propagation for Image-to-Video Person Re-identification

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lemniscate.pytorch

Unsupervised Feature Learning via Non-parametric Instance Discrimination

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Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

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SSL-2D-Pose

Code for the paper "Deep Attention Based Semi-Supervised 2D-Pose Estimation for Surgical Instruments"

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ig65m-pytorch

PyTorch 3D video classification models pre-trained on 65 million Instagram videos

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stmodeling

Code for the paper "Comparative Analysis of CNN-based Spatiotemporal Reasoning in Videos"

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pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

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